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What every engineer should know about data-driven analytics, Srinivasan, Satish Mahadevan (penn State Great Valley, Usa) Laplante, Phillip A. (the Pennsylvania State University, Malvern, Usa)


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Автор: Srinivasan, Satish Mahadevan (penn State Great Valley, Usa) Laplante, Phillip A. (the Pennsylvania State University, Malvern, Usa)
Название:  What every engineer should know about data-driven analytics
ISBN: 9781032235400
Издательство: Taylor&Francis
Классификация:









ISBN-10: 1032235403
Обложка/Формат: Paperback
Страницы: 260
Вес: 0.44 кг.
Дата издания: 13.04.2023
Серия: What every engineer should know
Иллюстрации: 113 line drawings, black and white; 113 illustrations, black and white
Размер: 155 x 234 x 19
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Поставляется из: Европейский союз
Описание: What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains.Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision makingIntroduces various approaches to build models that exploits different algorithmsDiscusses predictive models that can be built through machine learning and used to mine patterns from large datasetsExplores the augmentation of technical and mathematical materials with explanatory worked examplesIncludes a glossary, self-assessments, and worked-out practice exercisesWritten to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.
Дополнительное описание: 1. Data Collection and Cleaning. 2. Mathematical Background for Predictive Analytics. 3. Introduction to Statistics, Probability, and Information Theory for Analytics. 4. Introduction to Machine Learning. 5. Unsupervised Learning. 6. Supervised Learning.



Think Like an Engineer

Автор: Madhavan Guru
Название: Think Like an Engineer
ISBN: 1780748647 ISBN-13(EAN): 9781780748641
Издательство: TBS/GBS
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Цена: 2176.00 р.
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Описание: This book focuses on Dostoevsky`s first literary publication-his 1844 translation of the first edition of Balzac`s Eug nie Grandet (1834). Through the prism of close reading, the author analyzes Dostoevsky`s literary debut and the stylistic choices he made while working on Balzac`s novel in the context of his future mature aesthetic style and poetics.

Ethical engineering

Автор: Schlossberger, Eugene (purdue University Northwest (hammond Campus), Usa)
Название: Ethical engineering
ISBN: 1032151129 ISBN-13(EAN): 9781032151120
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: Ethical Engineering: A Practical Guide with Case Studies provides detailed and practical guidance in making decisions about the many ethical issues practicing engineers may face in their professional lives. It outlines a decision-making procedure and helps engineers construct an ethics toolkit consisting of professional models, a comprehensive set of ethical considerations and factors that help in weighing those considerations, and analyses of particular issues, such as reverse engineering a patented process. Illustrating case studies, both brief and detailed, are provided. Features: • Introduces the nature of ethical decision-making as applied to engineering values and issues.• Helps readers develop a detailed ethics toolkit that identifies options and solutions and allows them to monitor and adjust as necessary.• Features topics such as safety, sustainability, bioethics, diversity and equality, information technology and AI, as well as critical areas often overlooked in engineering texts, such as mentoring, advertising (for consulting firms), engineering sales, and much more. • Includes 85 case studies to illustrate a variety of scenarios. • Offers an international perspective with codes of ethics from around the world, including Saudi Arabia, India, New Zealand, Chile, and Japan. Emphasizing the importance of the moral life and of engineering as an occupation with high ideals, this book helps readers navigate a variety of real-world ethical issues they are likely to face in this increasingly interdisciplinary, global, and diverse profession.

What every engineer should know about the internet of things

Автор: DeFranco, Joanna F.,
Название: What every engineer should know about the internet of things
ISBN: 0367858789 ISBN-13(EAN): 9780367858780
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: Internet of Things (IoT) products and cyber-physical systems (CPS) are being utilized in almost every discipline and there continues to be significant increases in spending on design, development, and deployment of IoT applications and analytics within every domain, from our homes, schools, government, and industry. This practical text provides an introduction to IoT that can be understood by every engineering discipline and discusses detailed applications of IoT. Developed to help engineers navigate this increasingly important and cross-disciplinary topic, this work:Offers research-based examples and case studies to facilitate the understanding of each IoT primitiveHighlights IoT’s connection to blockchainProvides and understanding of benefits and challenges of IoT and its importance to a variety of engineering disciplinesWritten to be accessible to non-experts in the subject, What Every Engineer Should Know About the Internet of Things communicates the importance of this technology and how it can support and challenge all interrelated actors as well as all involved assets across many domains.

What Every Engineer Should Know About Decision Making Under Uncertainty

Автор: Wang, John X.
Название: What Every Engineer Should Know About Decision Making Under Uncertainty
ISBN: 0367447002 ISBN-13(EAN): 9780367447007
Издательство: Taylor&Francis
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Цена: 9645.00 р.
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Описание: This book introduces general techniques for thinking systematically and quantitatively about uncertainty in engineering decision problems. It shows how conditional expectations and conditional cumulative distributions can be estimated in a simulation model.

What Every Engineer Should Know About Project Management

Автор: Ruskin, Arnold M. , Estes, W. Eugene
Название: What Every Engineer Should Know About Project Management
ISBN: 0367401940 ISBN-13(EAN): 9780367401948
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: Covering the roles and responsibilities of the project manager, What Every Engineer Should Know about Project Management, Second Edition describes requirement specifications, work breakdown structures, project control, and risk management while offering added information on motivation, matrix arrangements, and project records. Discussing the anatomy of a project, planning and control, and techniques, the authors describe the project manager's entire range of responsibilities from initial planning to directing personnel, controlling work, and reporting results. The appendices cover work breakdown structure paradigms, cost versus time profiles, and checklists to assess work done.

What Every Engineer Should Know About the Internet of Things

Автор: Defranco Joanna F., Kassab Mohamad
Название: What Every Engineer Should Know About the Internet of Things
ISBN: 0367462729 ISBN-13(EAN): 9780367462727
Издательство: Taylor&Francis
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Цена: 21437.00 р.
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Описание: This practical text provides an introduction to IoT that can be understood by every engineering discipline and discusses detailed applications of IoT.

What every engineer should know about inventing

Автор: Middendorf
Название: What every engineer should know about inventing
ISBN: 0367451999 ISBN-13(EAN): 9780367451998
Издательство: Taylor&Francis
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Цена: 4592.00 р.
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Описание: This book provides the reader with the information they need to develop into a person who seeks creative opportunities and responds with elegant inventions. It is intended for young inventor and to all those who have the talent and the desire to invent.

What Every Engineer Should Know About Excel

Автор: Holman
Название: What Every Engineer Should Know About Excel
ISBN: 1138306142 ISBN-13(EAN): 9781138306141
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание: The book reflects the latest version of Excel and introduces Ribbon Bar Navigation. It features 2 new chapters on data management capabilities (connectivity to external databases, organization of data, sorting, filtering and data lookup across worksheets using functions like VLOOKUP and HLOOKUP) and Office 365 and integration with cloud resources.

Practical Business Analytics Using R and Python

Автор: Hodeghatta
Название: Practical Business Analytics Using R and Python
ISBN: 1484287533 ISBN-13(EAN): 9781484287538
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing. Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy. Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics. What You Will Learn * Master the mathematical foundations required for business analytics * Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task * Use R and Python to develop descriptive models, predictive models, and optimize models * Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

What every engineer should know about software engineering

Автор: Laplante, Phillip A. (the Pennsylvania State University, Malvern, Usa) Kassab, Mohamad
Название: What every engineer should know about software engineering
ISBN: 1032111534 ISBN-13(EAN): 9781032111537
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Описание: This book offers a practical approach to understanding, designing, and building sound software based on solid principles. Using a unique Q&A format, this book addresses the issues that engineers need to understand in order to successfully work with software engineers, develop specifications for quality software, and learn the basics of the most common programming languages, development approaches, and paradigms. The new edition is thoroughly updated to improve the pedagogical flow and emphasize new software engineering processes, practices, and tools that have emerged in every software engineering area.Features:Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, and construction.Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry.Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs.Helps answer the question: How can I better leverage embedded software in my design?Adds new chapters and sections on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity.Features new appendices that describe a sample automation system, covering software requirements, architecture, and design.This book is aimed at a wide range of engineers across many disciplines who work with software.

What every engineer should know about cyber security and digital forensics

Автор: Defranco, Joanna F. (the Pennsylvania State University, Malvern, Usa) Maley, Bob
Название: What every engineer should know about cyber security and digital forensics
ISBN: 103214601X ISBN-13(EAN): 9781032146010
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание: Most organizations place a high priority on keeping data secure, but not every organization invests in training its engineers or employees in understanding the security risks involved when using or developing technology. Designed for the non-security professional, What Every Engineer Should Know About Cyber Security and Digital Forensics is an overview of the field of cyber security.The Second Edition updates content to address the most recent cyber security concerns and introduces new topics such as business changes and outsourcing. It includes new cyber security risks such as Internet of Things and Distributed Networks (i.e., blockchain) and adds new sections on strategy based on the OODA (observe-orient-decide-act) loop in the cycle. It also includes an entire chapter on tools used by the professionals in the field. Exploring the cyber security topics that every engineer should understand, the book discusses network and personal data security, cloud and mobile computing, preparing for an incident and incident response, evidence handling, internet usage, law and compliance, and security forensic certifications. Application of the concepts is demonstrated through short case studies of real-world incidents chronologically delineating related events. The book also discusses certifications and reference manuals in the areas of cyber security and digital forensics.By mastering the principles in this volume, engineering professionals will not only better understand how to mitigate the risk of security incidents and keep their data secure, but also understand how to break into this expanding profession.

Technical writing

Автор: Laplante, Phillip A.
Название: Technical writing
ISBN: 1138606960 ISBN-13(EAN): 9781138606968
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание: The second edition enables readers to write, edit, and publish materials of a technical nature, including books, articles, reports, and electronic media. In addition, a focus on writing for the nontechnical persons working in the technology world and the nonnative English speaker has been incorporated.


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